John J. Brown

1.1k citations
53 papers · 785 · h-index 18

Impact in

Papers in

John J. Brown

51 papers receiving 720 citations

Peers

John J. Brown
Comparison fields: 5 of 89
  • Insect Science 515
  • Ecology, Evolution, Behavior and Systematics 182
  • Cellular and Molecular Neuroscience 150
  • Health, Toxicology and Mutagenesis 82
  • Plant Science 216
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Hongyi Wei China
Clinton B. Summers United States
Jelica Lazarević Serbia
G. C. Rock United States
Ajai Mansingh Jamaica
Gregory L. Orr United States
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Qiang Zhou China
David Siaussat France
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Citations per field
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Citations per year

Countries citing papers authored by John J. Brown

Since Specialization
Citations

This map shows the geographic impact of John J. Brown's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John J. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Brown more than expected).

Fields of papers citing papers by John J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Brown. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John J. Brown. The network helps show where John J. Brown may publish in the future.

Co-authors

The 25 scholars most cited alongside John J. Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John J. Brown Line = papers co-authored together John J. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997109
2 199164
3 200353
4 199029
5 199828
6 198427
7 199327
8 199924
9 199623
10 198022
11
Retaining Teachers in Challenging Schools
200922
12 199422
13 199022
14 201321
15 199819
16 200217
17 199017
18 201117
19 198517
20 200516

About John J. Brown

John J. Brown is a scholar working on Insect Science, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Plant Science and Molecular Biology, having authored 53 papers that have together received 785 indexed citations. Recurring topics across this work include Insect and Pesticide Research (18 papers), Insect-Plant Interactions and Control (17 papers), Insect Pheromone Research and Control (16 papers), Neurobiology and Insect Physiology Research (13 papers), Plant and animal studies (11 papers), Insect Pest Control Strategies (10 papers), Insect and Arachnid Ecology and Behavior (7 papers) and Insect Resistance and Genetics (7 papers). The work is most often cited by research in Insect Science (515 citations), Ecology, Evolution, Behavior and Systematics (182 citations), Cellular and Molecular Neuroscience (150 citations), Health, Toxicology and Mutagenesis (82 citations) and Plant Science (216 citations). John J. Brown has collaborated with scholars based in United States, Japan and Saudi Arabia. Frequent co-authors include Maciej A. Pszczółkowski, John D. Stark, Karl E. Espelie, Elizabeth A. Bernays, Yooichi Kainoh, Darcy A. Reed, Michael J. Friedlander, David Horton, Richard S. Zack and David Granatstein. Their work appears in journals such as Journal of Economic Entomology, Journal of Insect Physiology, Annals of the Entomological Society of America, Biological Control and Archives of Insect Biochemistry and Physiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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